{"id":"https://openalex.org/W3190895476","doi":"https://doi.org/10.1109/tim.2021.3102691","title":"Blind Omnidirectional Image Quality Assessment Based on Structure and Natural Features","display_name":"Blind Omnidirectional Image Quality Assessment Based on Structure and Natural Features","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3190895476","doi":"https://doi.org/10.1109/tim.2021.3102691","mag":"3190895476"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2021.3102691","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2021.3102691","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Instrumentation and Measurement","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100657455","display_name":"Yun Liu","orcid":"https://orcid.org/0000-0003-4115-1617"},"institutions":[{"id":"https://openalex.org/I118803816","display_name":"Liaoning University","ror":"https://ror.org/03xpwj629","country_code":"CN","type":"education","lineage":["https://openalex.org/I118803816"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yun Liu","raw_affiliation_strings":["College of Information, Liaoning University, Liaoning, China"],"raw_orcid":"https://orcid.org/0000-0003-4115-1617","affiliations":[{"raw_affiliation_string":"College of Information, Liaoning University, Liaoning, China","institution_ids":["https://openalex.org/I118803816"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101542112","display_name":"Hongwei Yu","orcid":"https://orcid.org/0000-0001-6352-4045"},"institutions":[{"id":"https://openalex.org/I118803816","display_name":"Liaoning University","ror":"https://ror.org/03xpwj629","country_code":"CN","type":"education","lineage":["https://openalex.org/I118803816"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongwei Yu","raw_affiliation_strings":["College of Information, Liaoning University, Liaoning, China"],"raw_orcid":"https://orcid.org/0000-0001-6352-4045","affiliations":[{"raw_affiliation_string":"College of Information, Liaoning University, Liaoning, China","institution_ids":["https://openalex.org/I118803816"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087988921","display_name":"Baoqing Huang","orcid":"https://orcid.org/0000-0003-2750-0753"},"institutions":[{"id":"https://openalex.org/I118803816","display_name":"Liaoning University","ror":"https://ror.org/03xpwj629","country_code":"CN","type":"education","lineage":["https://openalex.org/I118803816"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baoqing Huang","raw_affiliation_strings":["College of Information, Liaoning University, Liaoning, China"],"raw_orcid":"https://orcid.org/0000-0003-2750-0753","affiliations":[{"raw_affiliation_string":"College of Information, Liaoning University, Liaoning, China","institution_ids":["https://openalex.org/I118803816"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030883042","display_name":"Guanghui Yue","orcid":"https://orcid.org/0000-0002-6761-8767"},"institutions":[{"id":"https://openalex.org/I4210145292","display_name":"Shenzhen University Health Science Center","ror":"https://ror.org/04yjbr930","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210145292"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guanghui Yue","raw_affiliation_strings":["Health Science Center, School of Biomedical Engineering, Shenzhen University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-6761-8767","affiliations":[{"raw_affiliation_string":"Health Science Center, School of Biomedical Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I4210145292"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058706367","display_name":"Baoyan Song","orcid":"https://orcid.org/0000-0002-9766-0464"},"institutions":[{"id":"https://openalex.org/I118803816","display_name":"Liaoning University","ror":"https://ror.org/03xpwj629","country_code":"CN","type":"education","lineage":["https://openalex.org/I118803816"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baoyan Song","raw_affiliation_strings":["College of Information, Liaoning University, Liaoning, China"],"raw_orcid":"https://orcid.org/0000-0002-9766-0464","affiliations":[{"raw_affiliation_string":"College of Information, Liaoning University, Liaoning, China","institution_ids":["https://openalex.org/I118803816"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.167,"has_fulltext":false,"cited_by_count":29,"citation_normalized_percentile":{"value":0.89579771,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"70","issue":null,"first_page":"1","last_page":"11"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9951000213623047,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7251453399658203},{"id":"https://openalex.org/keywords/omnidirectional-antenna","display_name":"Omnidirectional antenna","score":0.7032454609870911},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.6790751814842224},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6554046869277954},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6133188605308533},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.5072631239891052},{"id":"https://openalex.org/keywords/naturalness","display_name":"Naturalness","score":0.47930803894996643},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45942002534866333},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.41829007863998413},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2393541932106018}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7251453399658203},{"id":"https://openalex.org/C24027999","wikidata":"https://www.wikidata.org/wiki/Q2176348","display_name":"Omnidirectional antenna","level":3,"score":0.7032454609870911},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.6790751814842224},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6554046869277954},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6133188605308533},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.5072631239891052},{"id":"https://openalex.org/C134537474","wikidata":"https://www.wikidata.org/wiki/Q17144832","display_name":"Naturalness","level":2,"score":0.47930803894996643},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45942002534866333},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.41829007863998413},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2393541932106018},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C21822782","wikidata":"https://www.wikidata.org/wiki/Q131214","display_name":"Antenna (radio)","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2021.3102691","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2021.3102691","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Instrumentation and Measurement","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1842105095","display_name":null,"funder_award_id":"61901205","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6519355659","display_name":null,"funder_award_id":"2019A1515111205","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"},{"id":"https://openalex.org/G7596383720","display_name":null,"funder_award_id":"62001302","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8679294037","display_name":null,"funder_award_id":"2021A1515011348","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320337111","display_name":"Basic and Applied Basic Research Foundation of Guangdong Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":63,"referenced_works":["https://openalex.org/W1545192369","https://openalex.org/W1574818812","https://openalex.org/W1964859077","https://openalex.org/W1969294188","https://openalex.org/W1970779216","https://openalex.org/W1977246677","https://openalex.org/W1977725648","https://openalex.org/W1982471090","https://openalex.org/W1993721485","https://openalex.org/W2015196405","https://openalex.org/W2038818196","https://openalex.org/W2046119925","https://openalex.org/W2073623229","https://openalex.org/W2082027032","https://openalex.org/W2102166818","https://openalex.org/W2114880045","https://openalex.org/W2121878633","https://openalex.org/W2129644086","https://openalex.org/W2130451581","https://openalex.org/W2133665775","https://openalex.org/W2136765793","https://openalex.org/W2140094223","https://openalex.org/W2141983208","https://openalex.org/W2142731874","https://openalex.org/W2161920802","https://openalex.org/W2163352848","https://openalex.org/W2163370434","https://openalex.org/W2165763959","https://openalex.org/W2519800386","https://openalex.org/W2549096365","https://openalex.org/W2563786098","https://openalex.org/W2589073776","https://openalex.org/W2590402370","https://openalex.org/W2733888878","https://openalex.org/W2766596268","https://openalex.org/W2781482160","https://openalex.org/W2781643939","https://openalex.org/W2790478331","https://openalex.org/W2799653921","https://openalex.org/W2888995598","https://openalex.org/W2889665196","https://openalex.org/W2903301153","https://openalex.org/W2904782401","https://openalex.org/W2909303017","https://openalex.org/W2912340292","https://openalex.org/W2912453221","https://openalex.org/W2919786679","https://openalex.org/W2943304988","https://openalex.org/W2943378185","https://openalex.org/W2984445790","https://openalex.org/W2990391914","https://openalex.org/W3001616956","https://openalex.org/W3005116486","https://openalex.org/W3006092419","https://openalex.org/W3011248152","https://openalex.org/W3012254040","https://openalex.org/W3014677367","https://openalex.org/W3039806022","https://openalex.org/W3089079443","https://openalex.org/W3100498948","https://openalex.org/W6634504512","https://openalex.org/W6726743404","https://openalex.org/W6775192887"],"related_works":["https://openalex.org/W2048790666","https://openalex.org/W2030598098","https://openalex.org/W2954105047","https://openalex.org/W1969517493","https://openalex.org/W3217021205","https://openalex.org/W203230242","https://openalex.org/W2611645609","https://openalex.org/W3160531318","https://openalex.org/W2111489512","https://openalex.org/W1489361165"],"abstract_inverted_index":{"Omnidirectional":[0],"image":[1,11,41,128],"quality":[2,108,133],"assessment":[3,134],"(OIQA)":[4],"is":[5,15,53,117],"a":[6,31],"hot":[7],"research":[8],"topic":[9],"in":[10,19,79,100,156],"processing.":[12],"Besides,":[13],"IQA":[14,148],"also":[16],"very":[17],"important":[18],"the":[20,38,57,62,73,80,85,106,110,127,146,157],"field":[21],"of":[22,65,76,91,109],"instrumentation":[23],"and":[24,43,94,121,130,150],"measurement.":[25],"In":[26],"this":[27],"article,":[28],"we":[29,83],"propose":[30],"new":[32],"no-reference":[33],"OIQA":[34],"model":[35,61,124,144],"by":[36,69],"analyzing":[37],"relationship":[39],"between":[40],"features":[42,129],"perceived":[44],"quality.":[45],"A":[46],"gradient":[47,58],"weighted":[48],"local":[49,92],"phrase":[50],"quantization":[51],"map":[52,59],"built":[54],"to":[55,60,104,119],"complement":[56],"structure":[63],"degradation":[64],"omnidirectional":[66,81,111],"images":[67],"caused":[68],"various":[70],"distortions.":[71],"Considering":[72],"large":[74],"amount":[75],"information":[77],"contained":[78],"image,":[82],"extract":[84],"luminance":[86],"features,":[87,96],"global":[88],"entropy":[89],"instead":[90],"entropy,":[93],"color":[95],"which":[97],"are":[98],"ignored":[99],"most":[101],"previous":[102],"works":[103],"estimate":[105],"naturalness":[107],"image.":[112],"Finally,":[113],"support":[114],"vector":[115],"regression":[116],"utilized":[118],"train":[120],"test":[122],"our":[123,143],"based":[125],"on":[126,138],"human":[131],"subjective":[132,154],"scores.":[135],"The":[136],"experiments":[137],"two":[139,158],"databases":[140],"show":[141],"that":[142],"outperforms":[145],"state-of-the-art":[147],"models":[149],"correlates":[151],"well":[152],"with":[153],"scores":[155],"databases.":[159]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}